Worst case additive noise for binary-input channels and zero-threshold detection under constraints of power and divergence

IEEE Transactions on Information Theory

Volumn 43, Issue 4, 1997, Pages 1256-1264

  McKellips, Andrew L ^b   Verdú, Sergio ^a,b  

^a IEEE

^b Princeton University   (United States)

Author keywords

Detection; Gaussian error probability; Hypothesis testing; Kullback Leibler divergence; Least favorable noise

Indexed keywords

ERROR ANALYSIS; PROBABILITY; SIGNAL DETECTION; SPURIOUS SIGNAL NOISE;

HYPOTHESIS TESTING; KULLBACK-LEIBLER DIVERGENCE;

COMMUNICATION CHANNELS (INFORMATION THEORY);

EID: 0031191930     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.605590     Document Type: Article

References (6)

1. C. R. Cahn, "Worst interference for coherent binary channel," IEEE Trans. Inform. Theory, vol. IT-17, pp. 209-210, Mar. 1971.
2. S. Shamai (Shitz) and S. Verdú, "Worst case power-constrained noise for binary-input channels," IEEE Trans. Inform. Theory, vol. 38, pp. 1494-1511, Sept. 1992.
3. M. A. Klimesh and W. E. Stark, "Worst case power-constrained noise for binary-input channels with varying amplitude signals," in Proc. IEEE Int. Symp. on Information Theory (Trondheim, Norway, 1994), p. 381.
4. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.
5. H. V. Poor and S. Verdú, "Probability of error in MMSE multiuser detection," IEEE Trans. Inform. Theory, vol. 43, pp. 858-871, May 1997.
6. D. G. Luenberger, Optimization by Vector Space Methods. New York: Wiley, 1969.